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Use Case:

The cluster at my University has a JupyterHub instance. I have my own conda environments I like to use. Is there a way, after my Jupyter notebook has launched, for me to specify a conda environment and kernel?

abalter
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1 Answers1

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You should first zip your conda environments and upload them to your jupyter instance inside Jupyterhub. After unzipping the environments open terminal.

Execute these command for each environment you want to be available as a kernel - 

source activate myenv
python -m ipykernel install --user --name myenv --display-name "Python (myenv)"

Change the name and display name as per requirement.

sat
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